Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationUpdate

Documentation

data ParallelismConfigurationUpdate

Describes updates to parameters for how an application executes multiple tasks simultaneously.

See: newParallelismConfigurationUpdate smart constructor.

Constructors

ParallelismConfigurationUpdate'

Fields

• autoScalingEnabledUpdate :: Maybe Bool

  Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput.

• configurationTypeUpdate :: Maybe ConfigurationType

  Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, or if a custom parallelism is used. You must set this property to CUSTOM in order to change your application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU properties.

• parallelismPerKPUUpdate :: Maybe Natural

  Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.

• parallelismUpdate :: Maybe Natural

  Describes updates to the initial number of parallel tasks an application can perform. If AutoScalingEnabled is set to True, then Kinesis Data Analytics can increase the CurrentParallelism value in response to application load. The service can increase CurrentParallelism up to the maximum parallelism, which is ParalellismPerKPU times the maximum KPUs for the application. The maximum KPUs for an application is 32 by default, and can be increased by requesting a limit increase. If application load is reduced, the service will reduce CurrentParallelism down to the Parallelism setting.

Instances

ToJSON ParallelismConfigurationUpdate

Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationUpdate

Methods

toJSON :: ParallelismConfigurationUpdate -> Value

toEncoding :: ParallelismConfigurationUpdate -> Encoding

toJSONList :: [ParallelismConfigurationUpdate] -> Value

toEncodingList :: [ParallelismConfigurationUpdate] -> Encoding

Generic ParallelismConfigurationUpdate

Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationUpdate

Associated Types

type Rep ParallelismConfigurationUpdate :: Type -> Type

Methods

from :: ParallelismConfigurationUpdate -> Rep ParallelismConfigurationUpdate x

to :: Rep ParallelismConfigurationUpdate x -> ParallelismConfigurationUpdate

Read ParallelismConfigurationUpdate

Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationUpdate

Methods

readsPrec :: Int -> ReadS ParallelismConfigurationUpdate

readList :: ReadS [ParallelismConfigurationUpdate]

readPrec :: ReadPrec ParallelismConfigurationUpdate

readListPrec :: ReadPrec [ParallelismConfigurationUpdate]

Show ParallelismConfigurationUpdate

Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationUpdate

Methods

showsPrec :: Int -> ParallelismConfigurationUpdate -> ShowS

show :: ParallelismConfigurationUpdate -> String

showList :: [ParallelismConfigurationUpdate] -> ShowS

NFData ParallelismConfigurationUpdate

Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationUpdate

Methods

rnf :: ParallelismConfigurationUpdate -> ()

Eq ParallelismConfigurationUpdate

Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationUpdate

Methods

(==) :: ParallelismConfigurationUpdate -> ParallelismConfigurationUpdate -> Bool

(/=) :: ParallelismConfigurationUpdate -> ParallelismConfigurationUpdate -> Bool

Hashable ParallelismConfigurationUpdate

Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationUpdate

Methods

hashWithSalt :: Int -> ParallelismConfigurationUpdate -> Int

hash :: ParallelismConfigurationUpdate -> Int

type Rep ParallelismConfigurationUpdate

Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationUpdate

type Rep ParallelismConfigurationUpdate = D1 ('MetaData "ParallelismConfigurationUpdate" "Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationUpdate" "amazonka-kinesisanalyticsv2-2.0-EuRTRS4ROZrHrkll3mMtCB" 'False) (C1 ('MetaCons "ParallelismConfigurationUpdate'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "autoScalingEnabledUpdate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "configurationTypeUpdate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ConfigurationType))) :*: (S1 ('MetaSel ('Just "parallelismPerKPUUpdate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "parallelismUpdate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))

newParallelismConfigurationUpdate :: ParallelismConfigurationUpdate

Create a value of ParallelismConfigurationUpdate with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:autoScalingEnabledUpdate:ParallelismConfigurationUpdate', parallelismConfigurationUpdate_autoScalingEnabledUpdate - Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput.

$sel:configurationTypeUpdate:ParallelismConfigurationUpdate', parallelismConfigurationUpdate_configurationTypeUpdate - Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, or if a custom parallelism is used. You must set this property to CUSTOM in order to change your application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU properties.

$sel:parallelismPerKPUUpdate:ParallelismConfigurationUpdate', parallelismConfigurationUpdate_parallelismPerKPUUpdate - Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.

$sel:parallelismUpdate:ParallelismConfigurationUpdate', parallelismConfigurationUpdate_parallelismUpdate - Describes updates to the initial number of parallel tasks an application can perform. If AutoScalingEnabled is set to True, then Kinesis Data Analytics can increase the CurrentParallelism value in response to application load. The service can increase CurrentParallelism up to the maximum parallelism, which is ParalellismPerKPU times the maximum KPUs for the application. The maximum KPUs for an application is 32 by default, and can be increased by requesting a limit increase. If application load is reduced, the service will reduce CurrentParallelism down to the Parallelism setting.

parallelismConfigurationUpdate_autoScalingEnabledUpdate :: Lens' ParallelismConfigurationUpdate (Maybe Bool)

Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput.

parallelismConfigurationUpdate_configurationTypeUpdate :: Lens' ParallelismConfigurationUpdate (Maybe ConfigurationType)

Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, or if a custom parallelism is used. You must set this property to CUSTOM in order to change your application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU properties.

parallelismConfigurationUpdate_parallelismPerKPUUpdate :: Lens' ParallelismConfigurationUpdate (Maybe Natural)

Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.

parallelismConfigurationUpdate_parallelismUpdate :: Lens' ParallelismConfigurationUpdate (Maybe Natural)

Describes updates to the initial number of parallel tasks an application can perform. If AutoScalingEnabled is set to True, then Kinesis Data Analytics can increase the CurrentParallelism value in response to application load. The service can increase CurrentParallelism up to the maximum parallelism, which is ParalellismPerKPU times the maximum KPUs for the application. The maximum KPUs for an application is 32 by default, and can be increased by requesting a limit increase. If application load is reduced, the service will reduce CurrentParallelism down to the Parallelism setting.